Integrative prognostic model incorporating high mobility group box 1 subcellular localization and tumor-infiltrating lymphocytes in early-stage lung adenocarcinoma.

IF 3.5 3区 医学 Q2 PATHOLOGY
Yao Liu, Miyako Shimasaki, Motona Kumagai, Jia Han, Akihiro Shioya, Masaru Sakurai, Hidetaka Uramoto, Sohsuke Yamada
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引用次数: 0

Abstract

Background: The prognostic impact of high mobility group box 1 (HMGB1) in lung adenocarcinoma may depend on its subcellular localization, while the density of tumor-infiltrating lymphocytes (TILs) reflects the host anti-tumor immune response. However, the combined prognostic value of these two factors in early-stage lung adenocarcinoma remains unclear.

Methods: This retrospective study included 112 patients with pathological stage I-II lung adenocarcinoma who underwent complete surgical resection at our institution between 2007 and 2017. None received neoadjuvant chemotherapy or radiotherapy. Immunohistochemistry was performed on formalin-fixed, paraffin-embedded tumor specimens to evaluate HMGB1 subcellular localization and stromal TILs infiltration. The latter was semi-quantitatively assessed according to the International TILs Working Group recommendations and dichotomized using the median value as the cutoff. Clinicopathological variables, including differentiation, pleural invasion, lymphovascular invasion, and pathological stage, were collected and correlated with HMGB1 localization and TIL status. Survival outcomes were analyzed using Kaplan-Meier and Cox proportional hazards models. Multivariable analyses were adjusted according to the events-per-variable (EPV) rules, and model diagnostics included proportional hazards testing and multicollinearity assessment. Interobserver agreement for HMGB1 localization was evaluated using Fleiss'κ statistics.

Results: Cytoplasmic HMGB1 expression and low TIL infiltration were significantly associated with adverse clinicopathological features, including poorer differentiation and higher rates of lymphovascular invasion. Both cytoplasmic HMGB1 and low TIL levels independently predicted a shorter DFS and OS. Patients with the combined phenotype of cytoplasmic HMGB1 and low TIL levels had the worst prognosis, with hazard ratios exceeding those of either factor alone. The integrative model based on HMGB1 localization and TIL status enhanced the prognostic discrimination beyond conventional clinicopathological parameters.

Conclusions: HMGB1 subcellular localization and TIL infiltration are independent prognostic biomarkers of early-stage lung adenocarcinoma. An integrative model combining these parameters provides enhanced risk stratification and may inform individualized postoperative management strategies.

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早期肺腺癌高迁移率组1亚细胞定位与肿瘤浸润淋巴细胞的综合预后模型
背景:高迁移率组盒1 (HMGB1)在肺腺癌中的预后影响可能取决于其亚细胞定位,而肿瘤浸润淋巴细胞(TILs)的密度反映宿主抗肿瘤免疫反应。然而,这两个因素在早期肺腺癌中的联合预后价值尚不清楚。方法:本回顾性研究纳入了112例病理性I-II期肺腺癌患者,这些患者于2007年至2017年在我院接受了完全手术切除。没有人接受新辅助化疗或放疗。采用免疫组化方法对福尔马林固定、石蜡包埋的肿瘤标本进行HMGB1亚细胞定位和间质TILs浸润的检测。后者根据国际TILs工作组的建议进行半定量评估,并使用中位数作为截止点进行二分。收集临床病理变量,包括分化、胸膜浸润、淋巴血管浸润和病理分期,并将其与HMGB1定位和TIL状态相关联。生存结局采用Kaplan-Meier和Cox比例风险模型进行分析。根据每变量事件(EPV)规则调整多变量分析,模型诊断包括比例风险检验和多重共线性评估。使用Fleiss’κ统计量评估HMGB1定位的观察者间一致性。结果:细胞质HMGB1表达和低TIL浸润与不良临床病理特征显著相关,包括较差的分化和较高的淋巴血管侵袭率。细胞质HMGB1和低TIL水平均独立预测较短的DFS和OS。细胞质HMGB1和低TIL联合表型的患者预后最差,其危险比超过任何一个因素单独的危险比。基于HMGB1定位和TIL状态的综合模型增强了传统临床病理参数之外的预后判别。结论:HMGB1亚细胞定位和TIL浸润是早期肺腺癌独立的预后生物标志物。结合这些参数的综合模型提供了增强的风险分层,并可能为个性化的术后管理策略提供信息。
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来源期刊
Diagnostic Pathology
Diagnostic Pathology 医学-病理学
CiteScore
4.60
自引率
0.00%
发文量
93
审稿时长
1 months
期刊介绍: Diagnostic Pathology is an open access, peer-reviewed, online journal that considers research in surgical and clinical pathology, immunology, and biology, with a special focus on cutting-edge approaches in diagnostic pathology and tissue-based therapy. The journal covers all aspects of surgical pathology, including classic diagnostic pathology, prognosis-related diagnosis (tumor stages, prognosis markers, such as MIB-percentage, hormone receptors, etc.), and therapy-related findings. The journal also focuses on the technological aspects of pathology, including molecular biology techniques, morphometry aspects (stereology, DNA analysis, syntactic structure analysis), communication aspects (telecommunication, virtual microscopy, virtual pathology institutions, etc.), and electronic education and quality assurance (for example interactive publication, on-line references with automated updating, etc.).
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